Approaching Object Detection Using Distance and Object Counts
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Solution Overview
Problem
Existing anti-collision systems require high computational capacity and electrical consumption, making them unsuitable for portable applications and vehicles other than cars, and lack the ability to provide immediate and intuitive collision warnings without distracting the user.
Innovation Solution
A system that detects objects using a camera and processing device, defines information sets based on time instants and object types, and generates alarm signals when distance or speed changes exceed thresholds, eliminating the need for recursive object tracking algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional object tracking algorithms are used to detect and track objects in anti-collision systems, then object detection and tracking capability is improved, but computational capacity requirements and electrical consumption increase exponentially
Solution Approach 1:
The patent extracts only the essential elements needed for collision risk assessment: distance measurement and object count per time instant. By eliminating recursive tracking and focusing solely on extracting distance information from sequential images, the system achieves collision detection with minimal computational overhead and energy consumption.
Solution Approach 2:
The patent segments the object detection process into discrete information sets for each time instant, where each set contains only the number of objects and their distances. This segmentation avoids the need to maintain continuous tracking of individual objects across frames, significantly reducing computational complexity and energy usage.
2Loss of time
If high-performance hardware resources are used to ensure adequate response times in anti-collision systems, then response time is improved, but device portability and applicability to different vehicles is worsened
Solution Approach 1:
The patent employs simple, lightweight hardware components including a basic camera, processor, and display device that can be easily integrated into various platforms. The simplified algorithm requires minimal processing power, enabling deployment in portable applications and diverse vehicles without demanding high-performance hardware.
Solution Approach 2:
The patent changes the fundamental parameters of the detection approach by measuring only distance and object count rather than tracking full object trajectories. This parameter simplification reduces computational demands, enabling fast response times with lightweight hardware suitable for portable and multi-vehicle applications.
3Use of energy by moving object
If simplified pre-processing techniques are used to reduce computational capacity requirements, then electrical consumption is reduced, but measurement precision and object identification accuracy may be worsened
Solution Approach 1:
The patent replaces complex mechanical tracking systems with an optical-based distance measurement approach using a camera and image processing. By substituting recursive algorithmic tracking with direct distance measurement from sequential images, the system achieves adequate precision with minimal computational effort and energy consumption.
4Ease of operation
If intuitive and immediate collision warnings are provided to users, then user awareness and reaction time are improved, but system complexity and distraction risk increase
Solution Approach 1:
The patent uses color-coded visual warnings on the display device to communicate collision risk levels intuitively. By employing distinct colors for different risk levels (e.g., green for safe, yellow for caution, red for danger), the system provides immediate and intuitive feedback without requiring complex interfaces or distracting the user with excessive information.
Data Source
AI summary
A system adapted to identify the approach of an object. The system is adapted to: detect at least one object in space, provide an estimate of the distance between the at least one object detected and the system, and provide a time instant in which the at least one object is detected. The system defines a plurality of information sets, each information set referring to a time instant and a number of objects detected at the time instant, and including a distance from the device of each of the detected objects, the distances being ordered in a sequence according to a predetermined criterion, identifies pairs of information sets referring to different time instants but associated with the same number of detected objects. Further, the system generates an alarm signal if a change in distance or speed exceed a limit value.